Knowledge Sharing Infrastructure and Methods for Virtual Enterprises

2011 ◽  
pp. 1-28 ◽  
Author(s):  
Farhad Daneshgar ◽  
Pradeep Ray ◽  
Fethi Rabhi ◽  
Hala Skaf-Molli ◽  
Pascal Molli ◽  
...  
Keyword(s):  
Knowledge Sharing ◽  
Process Model ◽  
Collaborative Work ◽  
The Internet ◽  
Virtual Enterprises ◽  
Analysis And Design ◽  
Specific Objective ◽  
Shared Awareness ◽  
Collaborative Information Systems

The world is witnessing a dramatic increase in the availability of knowledge and information due to the proliferation of the Internet. Virtual enterprises are new collaboration models, which enable the sharing of knowledge within and across organizations over the Internet. The chapter is concerned with both providing a knowledge-sharing infrastructure to facilitate collaborative work in virtual enterprises, as well as introducing a methodology for designing groupware for enhancing collaboration in virtual enterprises. The chapter reviews a number of existing Computer Supported Cooperative Work (CSCW) techniques, such as groupware and workflow and their role in supporting such an infrastructure. It then introduces a methodology for the analysis and design of collaborative information systems with a specific objective of maintaining a shared awareness among knowledge workers in virtual enterprises. This methodology includes as its main analytical tool a conceptual model called Collaborative Process Model for analyzing knowledge-sharing requirements of the actors in enterprise environments. Finally, the chapter presents an application of the methodology to a network management/trouble-shooting case study and discusses a NOTES prototype implementation.

"We'll Discuss that Online. . .": A Case Study of Computer-Supported Collaborative Work in a Locally-Based Emerging Organization

2013 ◽  
Author(s):  
Richard K. Smith ◽  
Michael L.W. Jones
Keyword(s):  
Potential Role ◽  
Collaborative Work ◽  
The Internet ◽  
Computer Supported Collaborative Work ◽  
Space And Time ◽  
Barriers To Communication

The Internet has attracted much popular and academic attention regarding its potential role as a medium for collaborative work. Through transcending many space- and time-based barriers to communication inherent in other media, the Internet represents a relatively cheap, sophisticated and accessible avenue of communication between geographically and temporally dispersed. . .

scholarly journals ПРИМЕНА РАЧУНАРА И ИНТЕРНЕТА У НАСТАВИ И УЧЕЊУ НА ФАКУЛТЕТУ ЗА СПЕЦИЈАЛНУ ЕДУКАЦИЈУ И РЕХАБИЛИТАЦИЈУ

TEME ◽  
2020 ◽  
pp. 763
Author(s):  
Danica Vasiljević-Prodanović
Keyword(s):  
Special Education ◽  
Teaching And Learning ◽  
Collaborative Work ◽  
Information Resources ◽  
The Internet ◽  
Specific Objective ◽  
Teachers And Students ◽  
The Way

This paper presents the results of research on the use of computers and the Internet in teaching and learning at the Faculty of Special Education and Rehabilitation. The sample consisted of 198 students of different departments and levels of study. The aim of the research was to determine to what extent teachers and students use computers and the Internet in teaching and learning. Specific objective was to determine the differences in the use of computers and the Internet depending on the year of study. The results show that the highest percentage of respondents (98 %) use the computer, and all the respondents use the Internet. Computers and the Internet are used extensively for entertainment. There is a need for the faculty to make its information resources more available to students. There are differences in the way computers and the Internet are used, as well as the students’ interaction with teachers and colleagues, depending on the year of study. It is recommended to direct students to a higher level of interaction and collaborative work in the performance of study tasks.

Biorefinery implementation for recovery debottlenecking at existing pulp mills- Part II: Techno-economic evaluation

TAPPI Journal ◽  
2012 ◽  
Vol 11 (8) ◽  
pp. 17-24 ◽  
Author(s):  
HAKIM GHEZZAZ ◽  
LUC PELLETIER ◽  
PAUL R. STUART
Keyword(s):  
Cost Estimation ◽  
Process Model ◽  
Black Liquor ◽  
Pulp Mill ◽  
Value Added ◽  
Economic Assessment ◽  
Extraction Process ◽  
Estimation Methods ◽  
Precipitation Process

The evaluation and process risk assessment of (a) lignin precipitation from black liquor, and (b) the near-neutral hemicellulose pre-extraction for recovery boiler debottlenecking in an existing pulp mill is presented in Part I of this paper, which was published in the July 2012 issue of TAPPI Journal. In Part II, the economic assessment of the two biorefinery process options is presented and interpreted. A mill process model was developed using WinGEMS software and used for calculating the mass and energy balances. Investment costs, operating costs, and profitability of the two biorefinery options have been calculated using standard cost estimation methods. The results show that the two biorefinery options are profitable for the case study mill and effective at process debottlenecking. The after-tax internal rate of return (IRR) of the lignin precipitation process option was estimated to be 95%, while that of the hemicellulose pre-extraction process option was 28%. Sensitivity analysis showed that the after tax-IRR of the lignin precipitation process remains higher than that of the hemicellulose pre-extraction process option, for all changes in the selected sensitivity parameters. If we consider the after-tax IRR, as well as capital cost, as selection criteria, the results show that for the case study mill, the lignin precipitation process is more promising than the near-neutral hemicellulose pre-extraction process. However, the comparison between the two biorefinery options should include long-term evaluation criteria. The potential of high value-added products that could be produced from lignin in the case of the lignin precipitation process, or from ethanol and acetic acid in the case of the hemicellulose pre-extraction process, should also be considered in the selection of the most promising process option.

The Internet is a Semicommons

2018 ◽  
Author(s):  
James Grimmelmann
Keyword(s):  
Open Field ◽  
Online Communities ◽  
Strategic Behavior ◽  
Private Property ◽  
The Internet ◽  
Field System ◽  
Technical Features ◽  
Dynamic Interplay ◽  
Enormous Success

78 Fordham Law Review 2799 (2010)The Internet is a semicommons. Private property in servers and network links coexists with a shared communications platform. This distinctive combination both explains the Internet's enormous success and illustrates some of its recurring problems.Building on Henry Smith's theory of the semicommons in the medieval open-field system, this essay explains how the dynamic interplay between private and common uses on the Internet enables it to facilitate worldwide sharing and collaboration without collapsing under the strain of misuse. It shows that key technical features of the Internet, such as its layering of protocols and the Web's division into distinct "sites," respond to the characteristic threats of strategic behavior in a semicommons. An extended case study of the Usenet distributed messaging system shows that not all semicommons on the Internet succeed; the continued success of the Internet depends on our ability to create strong online communities that can manage and defend the infrastructure on which they rely. Private and common both have essential roles to play in that task, a lesson recognized in David Post's and Jonathan Zittrain's recent books on the Internet.

scholarly journals The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim
Keyword(s):  
Business Process ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Predictive Maintenance ◽  
The Evolution Of Industry

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.

scholarly journals Personalized project recommendations: using reinforcement learning

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Faxin Qi ◽  
Xiangrong Tong ◽  
Lei Yu ◽  
Yingjie Wang
Keyword(s):  
Reinforcement Learning ◽  
User Behavior ◽  
Collaborative Work ◽  
Recursive Least Squares ◽  
The Internet ◽  
Dynamic Impact ◽  
Rls Algorithm ◽  
Trust Value ◽  
Q Learning ◽  
Actual Evaluation

AbstractWith the development of the Internet and the progress of human-centered computing (HCC), the mode of man-machine collaborative work has become more and more popular. Valuable information in the Internet, such as user behavior and social labels, is often provided by users. A recommendation based on trust is an important human-computer interaction recommendation application in a social network. However, previous studies generally assume that the trust value between users is static, unable to respond to the dynamic changes of user trust and preferences in a timely manner. In fact, after receiving the recommendation, there is a difference between actual evaluation and expected evaluation which is correlated with trust value. Based on the dynamics of trust and the changing process of trust between users, this paper proposes a trust boost method through reinforcement learning. Recursive least squares (RLS) algorithm is used to learn the dynamic impact of evaluation difference on user’s trust. In addition, a reinforcement learning method Deep Q-Learning (DQN) is studied to simulate the process of learning user’s preferences and boosting trust value. Experiments indicate that our method applied to recommendation systems could respond to the changes quickly on user’s preferences. Compared with other methods, our method has better accuracy on recommendation.

scholarly journals Using a Process Approach to Pandemic Planning: A Case Study

2021 ◽  
Vol 11 (9) ◽  
pp. 4121
Author(s):  
Hana Tomaskova ◽  
Erfan Babaee Tirkolaee
Keyword(s):  
Process Model ◽  
Process Mining ◽  
Process Approach ◽  
Research Topic ◽  
Future Research ◽  
Critical Situation ◽  
Pandemic Planning ◽  
The Difference ◽  
Smart Technologies

The purpose of this article was to demonstrate the difference between a pandemic plan’s textual prescription and its effective processing using graphical notation. Before creating a case study of the Business Process Model and Notation (BPMN) of the Czech Republic’s pandemic plan, we conducted a systematic review of the process approach in pandemic planning and a document analysis of relevant public documents. The authors emphasized the opacity of hundreds of pages of text records in an explanatory case study and demonstrated the effectiveness of the process approach in reengineering and improving the response to such a critical situation. A potential extension to the automation and involvement of SMART technologies or process optimization through process mining techniques is presented as a future research topic.

scholarly journals ‘I’m not being paid for this conversation’: Uncovering the challenges of artist–academic collaborations in the neoliberal institution

2019 ◽  
Vol 23 (3) ◽  
pp. 317-333
Author(s):  
Alena Pfoser ◽  
Sara de Jong
Keyword(s):  
Collaborative Work ◽  
Knowledge Exchange ◽  
Academic Research ◽  
The Political ◽  
Institutional Pressures ◽  
Negative Effects ◽  
Collective Response ◽  
And Shifts ◽  
The Impact

Artist–academic collaborations are fuelled by increasing institutional pressures to show the impact of academic research. This article departs from the celebratory accounts of collaborative work and pragmatic toolkits for successful partnerships, which are dominant in existing scholarship, arguing for the need to critically interrogate the structural conditions under which collaborations take place. Based on a reflexive case study of a project developed in the context of Tate Exchange, one of the UK’s highest-profile platforms for knowledge exchange, we reveal three sets of (unequal) pressures, which mark artist–academic collaborations in the contemporary neoliberal academy: asymmetric funding and remuneration structures; uneven pressures of audit cultures; acceleration and temporal asymmetries. Innovations at the level of individual projects or partners can only mitigate the negative effects to a limited extent. Instead this article offers a systemic critique of the political economy of artist–academic collaborations and shifts the research agenda to developing a collective response.

Sign in / Sign up

Export Citation Format

Share Document